Key Skills

Software

Label Studio

Top Subject Matter

Junior AI Data Annotator – Sports & Text Data

Sports – Football Data Annotation

I am an early‑career professional in the field of AI data labeling, with a strong interest in sports data, especially football. I use Label Studio as my main annotation tool and I am comfortable working with text, documents, and image datasets. My skills include classification tasks, Named Entity Recognition (NER), and bounding box annotation. I am committed to accuracy, consistency, and continuous learning to deliver high‑quality results in AI training projects.

Top Data Types

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Freelancer Overview

Football Data Researcher & Labeling Specialist with 1 year of hands‑on experience collecting, analyzing, and annotating player performance data. Skilled in identifying and organizing key football metrics such as goals, assists, nationality, position, match events, and player attributes. Strong ability to follow structured guidelines, maintain data accuracy, and deliver consistent quality in fast‑paced remote environments. Experienced in researching players across multiple leagues using reliable online sources, cross‑checking information, and ensuring clean, well‑structured datasets for AI training and sports analytics. Known for attention to detail, disciplined workflow, and a solid understanding of football rules, roles, and match dynamics.

Labeling Experience

Education

Work History